EMG analysis across different tasks improves prevention screenings in diabetes: a cluster analysis approach

The aim of this work was twofold: on one side to determine the most suitable parameters of surface electromyography (sEMG) to classify diabetic subjects with and without neuropathy and discriminate them from healthy controls and second to assess the role of the task acquired in the classification pr...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Medical & biological engineering & computing Jg. 60; H. 6; S. 1659 - 1673
Hauptverfasser:	Piatkowska, Weronika, Spolaor, Fabiola, Guiotto, Annamaria, Guarneri, Gabriella, Avogaro, Angelo, Sawacha, Zimi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2022 Springer Nature B.V
Schlagworte:	Algorithms Ankle Bioengineering Biomedical and Life Sciences Biomedical Engineering and Bioengineering Biomedicine Cardiovascular disease Climbing Cluster analysis Clustering Computer Applications Deactivation Diabetes Diabetes mellitus Diabetic neuropathy Electromyography Gait Human Physiology Hypotheses Imaging Metabolic disorders Muscle function Muscles Original Original Article Parameters Radiology Rehabilitation Ulcers Diabetic neuropathies Stair climbing Electromyography Clustering Diabetes mellitus Gait analysis
ISSN:	0140-0118, 1741-0444, 1741-0444
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!